KR20230048434A - 자기 차량의 자율 및 지원 운전에서 환경 특징을 연속적이고 적응적으로 검출하는 컴퓨터 구현 방법 - Google Patents

자기 차량의 자율 및 지원 운전에서 환경 특징을 연속적이고 적응적으로 검출하는 컴퓨터 구현 방법 Download PDF

Info

Publication number
KR20230048434A
KR20230048434A KR1020237009084A KR20237009084A KR20230048434A KR 20230048434 A KR20230048434 A KR 20230048434A KR 1020237009084 A KR1020237009084 A KR 1020237009084A KR 20237009084 A KR20237009084 A KR 20237009084A KR 20230048434 A KR20230048434 A KR 20230048434A
Authority
KR
South Korea
Prior art keywords
vehicle
server
scenario
machine learning
image
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
KR1020237009084A
Other languages
English (en)
Korean (ko)
Inventor
투도르 니코세비치
Original Assignee
콘티넨탈 오토노머스 모빌리티 저머니 게엠베하
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 콘티넨탈 오토노머스 모빌리티 저머니 게엠베하 filed Critical 콘티넨탈 오토노머스 모빌리티 저머니 게엠베하
Publication of KR20230048434A publication Critical patent/KR20230048434A/ko
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7747—Organisation of the process, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/251—Fusion techniques of input or preprocessed data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • G06T9/002—Image coding using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761—Proximity, similarity or dissimilarity measures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/776—Validation; Performance evaluation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/803—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of input or preprocessed data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/94—Hardware or software architectures specially adapted for image or video understanding
    • G06V10/95—Hardware or software architectures specially adapted for image or video understanding structured as a network, e.g. client-server architectures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Mathematical Physics (AREA)
  • Image Analysis (AREA)
  • Traffic Control Systems (AREA)
KR1020237009084A 2020-09-23 2021-09-21 자기 차량의 자율 및 지원 운전에서 환경 특징을 연속적이고 적응적으로 검출하는 컴퓨터 구현 방법 Pending KR20230048434A (ko)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP20465562.5 2020-09-23
EP20465562 2020-09-23
PCT/EP2021/075936 WO2022063774A1 (en) 2020-09-23 2021-09-21 A continuously, adaptive detection computer-implemented method of environment features in autonomous and assisted driving of an ego-vehicle

Publications (1)

Publication Number Publication Date
KR20230048434A true KR20230048434A (ko) 2023-04-11

Family

ID=73005550

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020237009084A Pending KR20230048434A (ko) 2020-09-23 2021-09-21 자기 차량의 자율 및 지원 운전에서 환경 특징을 연속적이고 적응적으로 검출하는 컴퓨터 구현 방법

Country Status (6)

Country Link
US (1) US12511882B2 (https=)
EP (1) EP4217917B1 (https=)
JP (1) JP7511750B2 (https=)
KR (1) KR20230048434A (https=)
CN (1) CN116420175B (https=)
WO (1) WO2022063774A1 (https=)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12177740B2 (en) * 2021-09-28 2024-12-24 Univrses Ab Managing mobile data gathering agents
CN114722975B (zh) * 2022-06-08 2022-08-30 山东大学 基于模糊理论和大数据分析的驾驶意图识别方法及系统
WO2024065605A1 (en) * 2022-09-30 2024-04-04 Orange Method for sharing data
CN116353624A (zh) * 2022-12-23 2023-06-30 深圳元戎启行科技有限公司 一种自动驾驶系统接管处理方法
CN116504059B (zh) * 2023-04-25 2026-03-13 智道网联科技(北京)有限公司 道路拥堵确定方法、装置及电子设备、存储介质

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102009039568A1 (de) * 2009-09-01 2010-05-06 Daimler Ag Verfahren und Vorrichtung zur Erkennung von Objekten
EP3290864A1 (en) 2016-08-30 2018-03-07 Continental Automotive GmbH Driver assistance system for determining a position of a vehicle
US10740658B2 (en) 2016-09-08 2020-08-11 Mentor Graphics Corporation Object recognition and classification using multiple sensor modalities
US11042155B2 (en) 2017-06-06 2021-06-22 Plusai Limited Method and system for closed loop perception in autonomous driving vehicles
US10007269B1 (en) 2017-06-23 2018-06-26 Uber Technologies, Inc. Collision-avoidance system for autonomous-capable vehicle
JP6946812B2 (ja) 2017-07-20 2021-10-06 株式会社デンソー 学習サーバ及び支援システム
DE102017217444B4 (de) 2017-09-29 2024-03-07 Volkswagen Ag Verfahren und System zum Aktualisieren eines Steuerungsmodells für eine automatische Steuerung zumindest einer mobilen Einheit
US11328210B2 (en) 2017-12-29 2022-05-10 Micron Technology, Inc. Self-learning in distributed architecture for enhancing artificial neural network
EP3820753B1 (en) * 2018-07-14 2023-08-02 Moove.AI Vehicle-data analytics
US10755575B2 (en) * 2018-08-30 2020-08-25 Cisco Technology, Inc. Raw sensor data sharing for enhanced fleet-wide environmental awareness and safety
US11521009B2 (en) 2018-09-04 2022-12-06 Luminar, Llc Automatically generating training data for a lidar using simulated vehicles in virtual space
JP7035204B2 (ja) 2018-09-06 2022-03-14 本田技研工業株式会社 車両制御装置、自動運転車開発システム、車両制御方法、およびプログラム
US11148676B2 (en) 2019-03-29 2021-10-19 Intel Corporation Detection of an anomalous image associated with image data from one or more cameras of a computer-aided or autonomous driving vehicle
KR102895049B1 (ko) 2019-05-14 2025-12-02 삼성전자주식회사 차량의 주행을 보조하는 전자 장치 및 방법
CN111290381A (zh) * 2020-02-10 2020-06-16 深圳前海微众银行股份有限公司 基于无人车的联邦学习实验系统

Also Published As

Publication number Publication date
US12511882B2 (en) 2025-12-30
CN116420175B (zh) 2026-02-10
EP4217917A1 (en) 2023-08-02
JP2023541967A (ja) 2023-10-04
US20230368506A1 (en) 2023-11-16
EP4217917B1 (en) 2026-01-28
JP7511750B2 (ja) 2024-07-05
WO2022063774A1 (en) 2022-03-31
CN116420175A (zh) 2023-07-11

Similar Documents

Publication Publication Date Title
JP7511750B2 (ja) 自車両の自動運転及び支援運転における環境特徴の連続適応型検出コンピュータ実装方法
Fujiyoshi et al. Deep learning-based image recognition for autonomous driving
KR102447352B1 (ko) 교통 신호등 검출 및 지능형 주행을 위한 방법 및 디바이스, 차량, 및 전자 디바이스
CN111767831B (zh) 用于处理图像的方法、装置、设备及存储介质
CN113688652A (zh) 一种异常驾驶行为的处理方法和装置
US11334767B2 (en) System and method of perception error evaluation and correction by solving optimization problems under the probabilistic signal temporal logic based constraints
KR20200023708A (ko) 객체 검출 방법, 객체 검출을 위한 학습 방법 및 그 장치들
CN110197106A (zh) 物件标示系统及方法
US12380689B2 (en) Managing occlusion in Siamese tracking using structured dropouts
CN112622892B (zh) 基于人脸和肢体姿态识别的紧急制动方法及系统
CN111583716B (zh) 一种车辆避障方法、装置、电子设备及存储介质
CN116309722A (zh) 对象的感知结果状态的确定方法、模型训练方法和装置
Yang et al. Topo2seq: Enhanced topology reasoning via topology sequence learning
EP4441718A1 (en) Methods, systems, storage media and apparatus for end-to-end scenario extraction from 3d input point clouds, scenario classification and the generation of sequential driving features for the identification of safety-critical scenario categories
CN113837270A (zh) 一种目标识别方法、装置、设备及存储介质
CN117671617A (zh) 一种集装箱港口环境下的实时车道识别方法
CN117274926A (zh) 交通信号设备的控制方法及系统
Alonso et al. Footprint-based classification of road moving objects using occupancy grids
CN114463547B (zh) 特征提取网络模型的训练方法、图像处理方法及其装置
CN119131758B (zh) 基于自动驾驶场景的大模型应用方法、装置、设备及介质
CN120762420B (zh) 基于vla架构与蒸馏学习的无人物流车驾驶决策方法及系统
US20260057686A1 (en) Method for automatically generating a labeling instruction for labeling an image and system for executing the method
Ake et al. Tracking and segmentation of vehicles in traffic video
US20230410533A1 (en) Method, processor circuit and computer-readable storage medium for pedestrian detection by a processor circuit of a motor vehicle
Arfian et al. Development of Lane Marking Detection and Classification for Perception System in Autonomous Vehicles

Legal Events

Date Code Title Description
A201 Request for examination
E13-X000 Pre-grant limitation requested

St.27 status event code: A-2-3-E10-E13-lim-X000

P11-X000 Amendment of application requested

St.27 status event code: A-2-2-P10-P11-nap-X000

P13-X000 Application amended

St.27 status event code: A-2-2-P10-P13-nap-X000

PA0105 International application

St.27 status event code: A-0-1-A10-A15-nap-PA0105

PA0201 Request for examination

St.27 status event code: A-1-2-D10-D11-exm-PA0201

PG1501 Laying open of application

St.27 status event code: A-1-1-Q10-Q12-nap-PG1501

D13-X000 Search requested

St.27 status event code: A-1-2-D10-D13-srh-X000

E902 Notification of reason for refusal
PE0902 Notice of grounds for rejection

St.27 status event code: A-1-2-D10-D21-exm-PE0902

P11-X000 Amendment of application requested

St.27 status event code: A-2-2-P10-P11-nap-X000

D21 Rejection of application intended

Free format text: ST27 STATUS EVENT CODE: A-1-2-D10-D21-EXM-PE0902 (AS PROVIDED BY THE NATIONAL OFFICE)

PE0902 Notice of grounds for rejection

St.27 status event code: A-1-2-D10-D21-exm-PE0902

E13 Pre-grant limitation requested

Free format text: ST27 STATUS EVENT CODE: A-2-3-E10-E13-LIM-X000 (AS PROVIDED BY THE NATIONAL OFFICE)

E13-X000 Pre-grant limitation requested

St.27 status event code: A-2-3-E10-E13-lim-X000

P11 Amendment of application requested

Free format text: ST27 STATUS EVENT CODE: A-2-2-P10-P11-NAP-X000 (AS PROVIDED BY THE NATIONAL OFFICE)

P11-X000 Amendment of application requested

St.27 status event code: A-2-2-P10-P11-nap-X000

PN2301 Change of applicant

St.27 status event code: A-3-3-R10-R13-asn-PN2301

St.27 status event code: A-3-3-R10-R11-asn-PN2301

R11 Change to the name of applicant or owner or transfer of ownership requested

Free format text: ST27 STATUS EVENT CODE: A-3-3-R10-R11-ASN-PN2301 (AS PROVIDED BY THE NATIONAL OFFICE)

R13 Change to the name of applicant or owner recorded

Free format text: ST27 STATUS EVENT CODE: A-3-3-R10-R13-ASN-PN2301 (AS PROVIDED BY THE NATIONAL OFFICE)

PE0701 Decision of registration

St.27 status event code: A-1-2-D10-D22-exm-PE0701